TY - JOUR
T1 - Single-cell analysis of treatment-resistant prostate cancer
T2 - Implications of cell state changes for cell surface antigen–targeted therapies
AU - Zaidi, Samir
AU - Park, Jooyoung
AU - Chan, Joseph M.
AU - Roudier, Martine P.
AU - Zhao, Jimmy L.
AU - Gopalan, Anuradha
AU - Wadosky, Kristine M.
AU - Patel, Radhika A.
AU - Sayar, Erolcan
AU - Karthaus, Wouter R.
AU - Kates, D. Henry
AU - Chaudhary, Ojasvi
AU - Xu, Tianhao
AU - Masilionis, Ignas
AU - Mazutis, Linas
AU - Chaligné, Ronan
AU - Obradovic, Aleksandar
AU - Linkov, Irina
AU - Barlas, Afsar
AU - Jungbluth, Achim A.
AU - Rekhtman, Natasha
AU - Silber, Joachim
AU - Manova-Todorova, Katia
AU - Watson, Philip A.
AU - True, Lawrence D.
AU - Morrissey, Colm
AU - Scher, Howard I.
AU - Rathkopf, Dana E.
AU - Morris, Michael J.
AU - Goodrich, David W.
AU - Choi, Jungmin
AU - Nelson, Peter S.
AU - Haffner, Michael C.
AU - Sawyers, Charles L.
N1 - Publisher Copyright:
Copyright © 2024 the Author(s). Published by PNAS.
PY - 2024/7/9
Y1 - 2024/7/9
N2 - Targeting cell surface molecules using radioligand and antibody-based therapies has yielded considerable success across cancers. However, it remains unclear how the expression of putative lineage markers, particularly cell surface molecules, varies in the process of lineage plasticity, wherein tumor cells alter their identity and acquire new oncogenic properties. A notable example of lineage plasticity is the transformation of prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC)—a growing resistance mechanism that results in the loss of responsiveness to androgen blockade and portends dismal patient survival. To understand how lineage markers vary across the evolution of lineage plasticity in prostate cancer, we applied single-cell analyses to 21 human prostate tumor biopsies and two genetically engineered mouse models, together with tissue microarray analysis on 131 tumor samples. Not only did we observe a higher degree of phenotypic heterogeneity in castrate-resistant PRAD and NEPC than previously anticipated but also found that the expression of molecules targeted therapeutically, namely PSMA, STEAP1, STEAP2, TROP2, CEACAM5, and DLL3, varied within a subset of gene-regulatory networks (GRNs). We also noted that NEPC and small cell lung cancer subtypes shared a set of GRNs, indicative of conserved biologic pathways that may be exploited therapeutically across tumor types. While this extreme level of transcriptional heterogeneity, particularly in cell surface marker expression, may mitigate the durability of clinical responses to current and future antigen-directed therapies, its delineation may yield signatures for patient selection in clinical trials, potentially across distinct cancer types.
AB - Targeting cell surface molecules using radioligand and antibody-based therapies has yielded considerable success across cancers. However, it remains unclear how the expression of putative lineage markers, particularly cell surface molecules, varies in the process of lineage plasticity, wherein tumor cells alter their identity and acquire new oncogenic properties. A notable example of lineage plasticity is the transformation of prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC)—a growing resistance mechanism that results in the loss of responsiveness to androgen blockade and portends dismal patient survival. To understand how lineage markers vary across the evolution of lineage plasticity in prostate cancer, we applied single-cell analyses to 21 human prostate tumor biopsies and two genetically engineered mouse models, together with tissue microarray analysis on 131 tumor samples. Not only did we observe a higher degree of phenotypic heterogeneity in castrate-resistant PRAD and NEPC than previously anticipated but also found that the expression of molecules targeted therapeutically, namely PSMA, STEAP1, STEAP2, TROP2, CEACAM5, and DLL3, varied within a subset of gene-regulatory networks (GRNs). We also noted that NEPC and small cell lung cancer subtypes shared a set of GRNs, indicative of conserved biologic pathways that may be exploited therapeutically across tumor types. While this extreme level of transcriptional heterogeneity, particularly in cell surface marker expression, may mitigate the durability of clinical responses to current and future antigen-directed therapies, its delineation may yield signatures for patient selection in clinical trials, potentially across distinct cancer types.
KW - cell states
KW - epithelial maligancies
KW - heterogeneity
KW - lineage plasticity
UR - http://www.scopus.com/inward/record.url?scp=85197816036&partnerID=8YFLogxK
U2 - 10.1073/pnas.2322203121
DO - 10.1073/pnas.2322203121
M3 - Article
C2 - 38968122
AN - SCOPUS:85197816036
SN - 0027-8424
VL - 121
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 28
M1 - e2322203121
ER -